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Indicates how much the dependent variable changes for every one-unit increase in the independent variable.
The value or category in a distribution with the highest frequency.
A cleaning technique that can be programmed for automatic detection in computer-assisted interviewing.
Replacing missing values in data analysis by estimating values from the available data.
A graphic display of a univariate distribution.
Examples are Cramer’s phi and the correlation coefficient.
Detecting and resolving errors in coding and data entry.
The middle value in a distribution.
The numerical difference between an observed value and the value predicted by the regression line.
Documentation for a data file that usually contains the question wording and responses codes for each variable.
Consists of editing, coding, data entry, and data cleaning.
The most commonly used statistical measure of variation.